Zero click search traffic is like a triage system for surgical candidates. Needless to say a search engine will be able to explain the symptoms and not be able to do an ophthalmic exam. Including technical facts in the first few sentences appeases the algorithm while entrenching clinical authority. Patients are still looking for a place they can depend on when it comes to their future medical needs. Most people revert to a practitioner voice after the initial data proves the specifics of an ocular condition. Clinical accuracy in information dense summaries preserves brand prestige. As it happens, providing specific medical observations which general algorithms might overlook are a must. It is accurate names crafted from years of training that make the difference. A reader will notice when an expert adds some practical wisdom to the generic summation. In the end there is a 12% increase in patient retention when direct answers contain the information of linked-to verified equipment specs.
Managing Director | Digital Marketing Specialist at Pathfinder Marketing
Answered a month ago
Our focus has switched from driving traffic towards our pages to driving brand preference by getting people to search specifically for the Pathfinder name instead of just digital marketing agencies. This has had an impact on how we create content strategies for all our SME clients. AI Overviews began absorbing request-based content with an extensive content audit across 23 client accounts where we were able to categorize every page based on actual conversions from forms and calls. What we clearly discovered is that approximately 80% of pages that were losing traffic, were providing general how-to type answers that Google has now taken away from websites by providing its own answers in the SERP. Along with that, almost all of the pages that were stable were written to an already salesperson-ready audience. We rebuilt our content briefs based on the gaps identified above. Instead of writing about "how to increase your website performance," we wrote about "the reasons why businesses in Perth change agencies after their first Google Ads campaign" and "what to expect in the first month of working with a digital marketing agency." These pages are not only surviving zero-click, the exact type of person ready to buy is also coming through these pages. The number of form submissions across these accounts doubled in the two months that followed the build of the content, without any increase of ad spend or traffic.
The biggest change we've made is creating "second-click content." With over 60% of searches now ending with zero clicks, the brand featured in the AI Overview sentence may win the impression race... but the brand that gets the second click wins the customer race. We now build every article around either a proprietary data point, unique stat, or an original framework buried towards the end of the page. The AI grabs the surface level answer, and the inquisitive reader clicks to learn more. It's safe to say this has been revolutionary for our clients. We rewrote 35 blog posts for one client with this tactic in mind and after just 60 days their click-through rate from AI Overview mentions increased 22%. What's more, their time on page rose from 1 minute 45 seconds to 3 minutes 10 seconds because users were landing on their site with true intent. The key to success in the zero-click era is giving AI something quotable while holding the best stuff just past its grasp, so to speak.
Content teams tend to ask the wrong question. They ask how to bring back their clicks but the real question is how much lower the sale price of their asset is already due to the zero click setup. When I look at the matter from acquisition view, a buyer, the truth is brutal. Sites that rely on informational traffic lists have high multiples but they sell for 30-40% less of what they are asking. I see sellers use that their traffic is steady but Search Console gives another message. Impressions go up but clicks go down, and that gap is AI Overviews consume content but do not bring viewers back. The brands that managed to retain their multiples had one thing in common: a list of subscribers ignored by Google, rather than a large content budget. They had an audience that was direct and they didn't need a search result to activate them. I adjusted the metrics (at first it was not comfortable because session count looks good on deck). We stopped tracking organic sessions and instead started measuring the increase in the number of searches for the brand and the number of email subscriber conversion rate of each article. On four of the sites I did the adjustment, branded search query increased an average of 31% in 90 days.
Right now, most content strategies are still based on using search traffic. I can understand why. For years, being ranked number one in search results provided constant traffic, and constant traffic provided constant revenue. Until the rise of AI, Overviews started providing search results with the answers to the user's question right on the result page, and then no longer were the click-through rates to websites coming through like they used to. In short, if you are searching for "best natural wine under $30," Google will answer it. So, there is no need for them to go to your website. I realized this approximately 2 years ago when we noticed our organic blog traffic had significantly decreased, but our email revenue remained constant. (This was all the information I needed to determine the location of our real audience.) So, we decided to stop using our blog as an engine to generate traffic to our site, and instead began to use our email list as the actual business asset. We publish a weekly newsletter to 110,000 subscribers. That list remains unaffected by all the changes in algorithms, AI Overviews, and zero-click search results. When we write about the specific Barolo producer we just purchased from, or when we write about why we decided to pass on a highly-rated Burgundy vintage, we send that information directly to the reader's inbox. The reader does not have to perform a search. Beyond that, the content that we send to our email subscribers performs in a manner that far exceeds the performance of the content we published in our blog. Our weekly newsletters have an open rate of 34% and each time we send a breakdown of our trip purchasing a wine and a tasting note email regarding a specific bottle of wine, it generates same-day sales. Search has never produced the type of immediate response that we receive from sending an email to our subscribers.
The primary way we are adjusting our content and our customer's content is including, wherever possible, schema markup. This can be by including an FAQ section within the copy. It can also mean including schema like LocalBusiness, Place, Restaurant, et cetera. This gives Google Gemini and other AI engines the ability to easily crawl and consume the content. For example, a medical-based content creator can include schema like MedicalCondition, Drug, and MedicalWebPage to distinguish their article from other non-healthcare related content.
Most SEO strategies still measure success by the number of clicks a page gets. That model is breaking. With the fact that AI Overviews now pull answers directly into Google's search results, more than 60% of searches end without even a single click to any website. At my agency, we saw this shift impact our clients' traffic numbers before most people had even begun to talk about it, at agencies. So we changed our whole approach. No longer are we writing content to get a click, but writing content to be the content that Google pulls from. That means shorter, more to-the-point answers at the top of every page. It means organizing content in a way that Google's AI doesn't have any other option than to make a reference to your brand when building up its overview. From what I've seen, across our client accounts, the brands that are showing up inside AI Overviews are getting better than clicks. They're being exposed to a brand over and over again at the time someone is looking for an answer. Or if you're running content strategy in 2026 and counting your pageviews as your north star metric, you're measuring the wrong thing. The game now is becoming the answer that Google believes enough to serve in search results, and this takes a different kind of content than most businesses have been accustomed to producing.
Honestly, it wouldn't be difficult to adjust. I would simply flip my focus from traffic-driving pages to memory-driving pages. Pageviews are meaningless in a zero-click world. What matters is if your brand's voice lives on through the snippet and into the brains of your customers for the next day. Meaning every cornerstone page should have a viewpoint boiled down to 1 or 2 punchy sentences that will read well within an AI snippet. Brands lose value when their content begins to sound generic, even if that content gets found. Brands win when the snippet bleeds a phrase, a benchmark, or a stat that someone can later recall verbatim. Instead of optimizing for dozens of low-intent visits, I would focus on crafting a handful of sticky takeaways for each cluster of topics. Ideally, each article leaves the reader with one brandable process, one measurable benchmark, and one non-academic takeaway that sounds 100% like you. That way your brand equity continues to build outside of clicks because retention still matters.
Running Cardboard Connection for nearly 6 years, I've watched our eBay affiliate traffic get quietly cannibalized as Google summarizes card values and set checklists directly in search results. That forced me to rethink what we actually own that AI can't replicate. Our answer was doubling down on proprietary data tools--specifically our custom eBay auction search engine and real-time hot list tracker. AI Overviews can summarize a checklist, but they can't surface live auction rankings or tell you what's being watched *right now*. That's our moat. The financial background (Series 7, 65) trained me to think in terms of defensible positions. Static informational content is a commodity now. Interactive tools, community-driven data, and transactional experiences are what create return visits that don't depend on a Google click at all. The metric I track now isn't organic search volume--it's direct traffic and time-on-site for tool pages specifically. Those numbers have held steady even as our checklist pages took the AI Overview hit hardest. Build what AI summarizes *about*, not what AI can replace.
Multifamily marketing actually gives me a useful lens here--our prospects aren't searching for apartments the way they shop for shoes. They're searching for a *life*, and that specificity is exactly what AI Overviews can't replicate at scale. When we built out our video tour library for The Duncan and linked unit-level tours through Engrain sitemaps, we weren't just solving a conversion problem--we accidentally future-proofed against zero-click. An AI Overview can tell someone "West Loop has luxury apartments." It cannot show them the actual view from unit A-C19 on floor 4. That gap is where our content now lives. Our UTM tracking rollout taught me something relevant: 25% of our lead improvement came from understanding *where* people entered, not just that they clicked. In a zero-click world, I'd argue that same rigor needs to apply to *how* people arrive without clicking--brand recall, direct searches, and "The Duncan Chicago" typed cold into a browser. Those are the signals worth chasing now. The practical shift I'd recommend: stop writing content that answers questions, start creating content that *demonstrates* something. FAQ content answering "how do I use my oven" is ripe for AI summarization. A video of your maintenance team walking through it? That's ours to own.
With a decade optimizing SEO for mortgage and real estate clients at RMS, we're pivoting content from static blogs to video-first strategies that AI Overviews can't summarize effectively. We repurpose top-performing blogs--like our mortgage FAQ posts--into keyword-rich YouTube videos, embedding them back into the originals for dual SEO gains, driving 2x traffic as search engines favor video signals. Short-form YouTube Shorts and interactive polls now dominate, mirroring TikTok trends we track, capturing Gen Z engagement where zero-clicks fall short on conversions. This keeps our brand's authentic voice and expertise front-center, turning passive searches into loyal followers via measurable plays like embedded CTAs.
I run marketing for a FLATS(r) portfolio across markets like Chicago and San Diego, so "zero-click" isn't theoretical for me--if people don't hit our site, we still need them to choose our building. I've shifted SEO content from "rank a blog" to "answer the exact question better than the overview can, in a format it will quote," and I measure it with UTMs so I can see which channels still produce qualified leads (+25% after rollout). For The Rosie, that means building tight, schema-friendly FAQs that mirror real resident/prospect questions (pet policy fees, 24/7 lockouts, renter's insurance requirement, utilities not included) and keeping them brutally specific so AI pulls our numbers and rules correctly. This is the same feedback-to-content loop I used in Livly: when move-in oven confusion kept popping up, we made maintenance FAQ videos and cut move-in dissatisfaction 30%--now I'm applying that model upstream to "pre-lease friction," not just resident ops. I'm also leaning harder into content that survives without a click: unit-level video tours stored in a YouTube library and connected to our site via Engrain sitemaps. That program drove a 25% faster lease-up and reduced unit exposure by 50% with no additional overhead--so even if AI answers "what's in Pilsen / what's the building like," the next step is a tour asset that's already native to the platform people are consuming in. Finally, I'm treating "brand value" as consistency under compression: if AI summarizes us in 5 lines, those 5 lines need to match what leasing and residents experience. So I use portfolio benchmarks in vendor negotiations to fund repeatable content refreshes (not one-off campaigns), and I push rich media (floorplans/3D/video) because it's one of the few levers that still moves tour-to-lease (+7%) when informational clicks disappear.
As CEO of a growth agency with a 50-year legacy, I treat marketing as a commercial function that must drive sales, not just impressions. My background in audio engineering and sales psychology informs how we build systems that capture attention through authority rather than generic information. We have shifted our clients toward "Proprietary Data Benchmarking" which forces AI Overviews to cite our specific figures as the primary source. For a B2B tech client, publishing unique industry performance data ensured their brand was the featured authority in AI summaries, maintaining brand recall even without a website visit. We now optimize for "In-Snippet Conversion" by leading with our unique "Fractional Growth" methodology in the opening sentences of all content. This strategy ensures that even in zero-click scenarios, users associate the solution with our specific framework and our signature 45-minute growth consultation.
I've spent 20 years at Foxxr Digital Marketing building lead-gen systems for home service contractors where a booked job matters more than a vanity click. We're combatting zero-click by shifting to Generative Engine Optimization (GEO), using structured schema markup to ensure our HVAC and plumbing clients are the specific sources cited in Google's AI Overviews. Since nearly 60% of voice searches target local businesses, we optimize for conversational, long-tail queries that AI assistants prioritize for direct answers. For example, we structure a roofer's content to answer "emergency leak repair cost" directly, positioning the brand as the immediate authority before a user even considers scrolling. We also leverage Foxxr CRM to bridge the gap between AI-generated answers and actual revenue through automated AI Voice and Chat tools. This moves the battleground from the search results page to an instant, automated lead-capture system that converts high-intent queries 24/7.
With $140 million in tracked revenue for service businesses, I've stopped chasing informational traffic that AI now summarizes. We now focus exclusively on high-intent search terms like "solar installation near me" or "emergency plumber," where the user needs a human solution rather than a text summary. To beat AI Overviews, we prioritize Google Local Service Ads (LSAs) to keep our clients in the "Google Guaranteed" section at the very top of the screen. This strategy ensures our Knoxville-based partners are the first thing a user sees, effectively leapfrogging the AI-generated content entirely. We also utilize Directory Listing Management to feed these AI models consistent, verified business data. By making our clients the most authoritative source for local information, we turn zero-click summaries into direct phone calls and tracked revenue.
With over a decade producing casino marketing videos that evoke real emotion, we're pivoting to live multi-camera livestreams over static informational content AI can summarize. For Seminole Hard Rock Tampa's Gasparilla Pirate Fest--filmed since 2014--we stream the pirate ship invasion and 4.5-mile parade route live, capturing crowd energy that text overviews flatten, driving 2x viewership spikes post-event. This maintains brand value by positioning us as the immersive extension of client teams, forcing clicks for the full "hands-on" execution AI skips. Short-form clips then funnel to full streams, sustaining connections zero-click searches disrupt.
With a decade leading SEO for 100+ small businesses at Attention Digital, we've mastered organic ranking through audits, content, and backlinks--perfect for navigating zero-click dominance. We're pivoting content to schema-marked FAQs and how-to blogs that feed AI overviews directly, like our guides on "SEO timelines for local businesses" mirroring searcher questions. One case: A nonprofit client hit page-1 in 4 months with optimized FAQ boxes on pricing and services, maintaining brand mentions in overviews and steady referral traffic. This builds authority so our no-contract, custom strategies get cited, preserving value beyond clicks.
I run Extreme Kartz (since 2022) and our whole model is "system-based solutions" for specific carts--lithium conversions, controller upgrades, AC kits--so zero-click doesn't scare me as much as it does generic parts sites. AI can summarize "what is a lithium conversion," but it can't safely pick a correct setup for a specific cart + usage goal without the fitment context we build everything around. We've shifted content away from broad definitions and into decision content that *requires* a user's inputs: cart brand/model, year/series, battery tray constraints, desired speed/torque, and whether they're doing a controller upgrade at the same time. That's why our pages are structured to answer "will this fit my Club Car / EZGO / Yamaha?" and "what works and what does not" with installation considerations and limitations baked in. Example: a lithium battery conversion guide isn't just benefits; it's a compatibility map that forces clarity (what changes with a controller upgrade, what you must verify before buying, what expectations are realistic). That same approach is why our technical support processes and product standards are built around fitment accuracy and honest expectations instead of "buy now" pressure. The brand value play is making the "last mile" of the decision unskippable: tight FAQs tied directly to product collections, internal linking from problem - solution - product, and post-purchase guidance that reduces wrong orders. When AI Overviews eat the top-of-funnel, we win by owning the part AI can't responsibly complete--matching the right upgrade system to the right cart and backing it with accountable support to all 50 states.
I've run USMilitary.com since 2007, generating up to 750 qualified prospects daily for military branches while building a massive veteran audience with in-depth VA benefits and career content. We're shifting to hyper-personal narratives like my BUD/S survival in "Dare to Live Greatly," blending SEAL grit with faith lessons--AI overviews can't capture that raw, first-hand motivation drawing readers back for the full story. Interactive elements like VA disability calculators and assisted living checklists keep users on-site longer; our TDIU guides and 2026 changes breakdowns convert zero-click summaries into 100% engagement via lead forms. Veteran forums on job transitions and spouse resources foster repeat visits, turning AI traffic into loyal community traffic that sustains our non-government brand authority.
I've spent 20+ years in biz dev across marketing + tech (TapText, UpSwell/Muscle Up Marketing) and now lead growth at Latitude Park, plus I run One Love Apparel--so I'm living the "AI ate the SERP" shift on both the agency and owner side. My adjustment is to stop treating search as a click channel and start treating it as a trust channel: I write to win the *citation* and then capture demand somewhere AI can't compress (email/SMS + community). At One Love, we've moved blog content away from generic "tips" and into brand-proof assets that reinforce "People over Profit": cause receipts, partner spotlights, and stories tied to our mission (anti-bullying, mental health, veterans). Example: instead of another self-care listicle, we publish a piece that includes what cause we're supporting that month + a concrete action readers can take, then drive a simple 2-step opt-in ("get the monthly cause drop + early access") so the value doesn't depend on a click from Google. On the Latitude Park side, we're rewriting client content into "answer-first blocks" (tight definitions + 3 bullets + one quotable line) specifically designed to be lifted into AI Overviews *with the brand name intact*, and we measure success by branded search lift + direct traffic, not just sessions. When we did this for a service client, impressions stayed flat but branded queries climbed over the next few weeks and lead quality improved because people arrived already aligned with the positioning. The big mindset change: I'm optimizing for *memory and repeat touch*, not pageviews--every piece of content must earn either a mention (brand/value statement that survives zero-click) or a subscription (SMS/email), otherwise it's just feeding the model for free.